Design and Experimental Evaluation of Multiple Adaptation Layers in Self-optimizing Particle Swarm Optimization

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Ritscher T, Helwig S, Wanka R
Titel Sammelwerk: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Jahr der Veröffentlichung: 2010
Tagungsband: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010)


Abstract


Particle swarm optimization (PSO) is a nature-inspired technique for solving continuous optimization problems. For a fixed optimization problem, the quality of the found solution depends significantly on the choice of the algorithmic PSO parameters such as the inertia weight and the acceleration coefficients. It is a challenging task to choose appropriate values for these parameters by hand or mathematically. In this paper, a novel self-optimizing particle swarm optimizer with multiple adaptation layers is introduced. In the new algorithm, adaptation takes place on both particle and subswarm level. The new idea of using virtual parameter swarms which hold modifiable parameter configurations each is introduced. The algorithmic PSO parameters can be mutated by using, for instance, well-known techniques from the field of evolutionary algorithms, in order to allow fine-granular parameter adaptation to the problem at hand. The new algorithm is experimentally evaluated, and compared to a standard PSO and the Tribes algorithm. The experimental study shows that our new algorithm is highly competitive to previously suggested approaches. © 2010 IEEE.



FAU-Autoren / FAU-Herausgeber

Wanka, Rolf Prof. Dr.
Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung)


Zitierweisen

APA:
Ritscher, T., Helwig, S., & Wanka, R. (2010). Design and Experimental Evaluation of Multiple Adaptation Layers in Self-optimizing Particle Swarm Optimization. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010). Barcelona, ES.

MLA:
Ritscher, Thomas, Sabine Helwig, and Rolf Wanka. "Design and Experimental Evaluation of Multiple Adaptation Layers in Self-optimizing Particle Swarm Optimization." Proceedings of the IEEE Congress on Evolutionary Computation, Barcelona 2010.

BibTeX: 

Zuletzt aktualisiert 2018-09-08 um 22:39